Senior Data Engineer
TELUS Digital (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 16h ago
Reach people at TELUS Digital
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at TELUS Digital you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build, deploy, and manage end-to-end data pipelines using Python and PySpark, including ingestion, transformation, and storage.
- Develop and optimize ETL/ELT processes leveraging GCP and AWS cloud services to ensure scalable data integration and reliability.
- Use GenAI and automation tools to enhance development speed and reduce manual effort, while monitoring and troubleshooting data engineering issues.
Minimum Requirements
- Strong proficiency in Python and PySpark.
- Experience working with cloud platforms such as GCP and/or AWS.
- Solid understanding of ETL/ELT processes, data warehouse and data lake concepts, and relational (PostgreSQL, MySQL) and non-relational (MongoDB) databases.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in delivering high-quality, production-ready code in execution-focused, fast-paced environments.
- Familiarity with automation via Generative AI tools and scripting for accelerating development.
- Comfortable with end-to-end ownership of data workflows and proactive in optimizing pipeline performance and data trustworthiness.